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Audio Segmentation, Classification, and Retrieval

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Musical Genre Classification. Content-based Query. Audio Framework ... Music Genre Classifiction. Training set: Large corpus of music and speech. How good? ... – PowerPoint PPT presentation

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Title: Audio Segmentation, Classification, and Retrieval


1
Audio Segmentation, Classification,and Retrieval
  • Princeton Sound Lab
  • Prof. Perry Cook
  • George Tzanetakis, PhD 02 (CMU)
  • Ari Lazier, 03
  • Ge Wang, G3
  • Tom Briggs, G2

2
Roadmap
  • Framework
  • MARSYAS
  • Demos
  • Smart Sound Editor
  • Musical Genre Classification
  • Content-based Query

3
Audio Framework
  • MARSYAS (Tzanetakis, Cook, Lazier)
  • Feature Extraction
  • Source Segmentation
  • Content-based Retrieval
  • Classification
  • General Approach / Not Domain-specific
  • Highly Extensible

4
(No Transcript)
5
Smart Sound Editor
  • Automatic Segmentation
  • Music
  • Speech
  • Male
  • Female

6
Music Genre Classifiction
  • Training set Large corpus of music and speech
  • How good?
  • 90 speech vs. music
  • 67 correct forced decision on genre
  • (same agreement as humans)

7
Content-based Query
  • Distance in Multi-Dimensional Feature-space
  • Navigate Feature-space
  • Nearest Neighbor / Similarity Retrieval
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